Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera

Accuracy validation of gait analysis using pose estimation with artificial intelligence (AI) remains inadequate, particularly in objective assessments of absolute error and similarity of waveform patterns. This study aimed to clarify objective measures for absolute error and waveform pattern similar...

Full description

Bibliographic Details
Published in:	Sensors
Main Authors:	Takumi Ino, Mina Samukawa, Tomoya Ishida, Naofumi Wada, Yuta Koshino, Satoshi Kasahara, Harukazu Tohyama
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Subjects:	human pose estimation 2D motion analysis walking markerless motion capture Vicon
Online Access:	https://www.mdpi.com/1424-8220/23/24/9799

Similar Items

Influence of the Camera Viewing Angle on OpenPose Validity in Motion Analysis
by: Melanie Baldinger, et al.
Published: (2025-01-01)

Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras
by: Nobuyasu Nakano, et al.
Published: (2020-05-01)

Single Camera-Based Remote Physical Therapy: Verification on a Large Video Dataset
by: Jindrich Adolf, et al.
Published: (2022-01-01)

<em>UNIPD-BPE</em>: Synchronized RGB-D and Inertial Data for Multimodal Body Pose Estimation and Tracking
by: Mattia Guidolin, et al.
Published: (2022-06-01)

Healthcare applications of single camera markerless motion capture: a scoping review
by: Bradley Scott, et al.
Published: (2022-05-01)

Exercise quantification from single camera view markerless 3D pose estimation
by: Clara Mercadal-Baudart, et al.
Published: (2024-03-01)

Pilot study: Insights into the validity of Opencap to assess knee kinematics during the back squat
by: Viktoriia Nagorna, et al.
Published: (2024-02-01)

Computer vision for kinematic metrics of the drinking task in a pilot study of neurotypical participants
by: Justin Huber, et al.
Published: (2024-09-01)

Validated low-cost standardized VICON configuration as a practical approach to estimating the minimal accuracy of a specific setup
by: Adam Chromy, et al.
Published: (2025-07-01)

Pose-Based Gait Analysis for Diagnosis of Parkinson’s Disease
by: Tee Connie, et al.
Published: (2022-12-01)

Review on Mandibular Muscle Kinematics
by: Beatriz Martínez-Silva, et al.
Published: (2022-08-01)

A Modified Kinematic Model of Shoulder Complex Based on Vicon Motion Capturing System: Generalized GH Joint with Floating Centre
by: Chunzhao Zhang, et al.
Published: (2020-07-01)

Comparison of kinematics and joint moments calculations for lower limbs during gait using markerless and marker-based motion capture
by: Tianchen Huang, et al.
Published: (2024-03-01)

Comparison of lower body joint kinematics during change of direction tasks estimated using a markerless and a markerbased method
by: Janina Helwig, et al.
Published: (2025-09-01)

Pose2Sim: An End-to-End Workflow for 3D Markerless Sports Kinematics—Part 2: Accuracy
by: David Pagnon, et al.
Published: (2022-04-01)

Agreement Analysis between Vive and Vicon Systems to Monitor Lumbar Postural Changes
by: Susanne M. van der Veen, et al.
Published: (2019-08-01)

A Novel Measurement Procedure for Error Correction in Single Camera Gait Analysis
by: Svonko Galasso, et al.
Published: (2024-01-01)

A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport
by: Cortney Armitano-Lago, et al.
Published: (2022-01-01)

Validation of a 3D Markerless Motion Capture Tool Using Multiple Pose and Depth Estimations for Quantitative Gait Analysis
by: Mathis D’Haene, et al.
Published: (2024-11-01)

Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone
by: Timilehin B. Aderinola, et al.
Published: (2023-01-01)

Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT)
by: Chifumi Iseki, et al.
Published: (2023-07-01)

Validating Knee Varus Alignment Measurements Using Markerless Motion Capture
by: Kensuke Todoriki, et al.
Published: (2023-11-01)

A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation
by: Winnie W. T. Lam, et al.
Published: (2023-05-01)

How does running technique change with running speed? A quantitative analysis based on practice-informed principal components
by: Daniel Debertin, et al.
Published: (2024-09-01)

Measurement Accuracy of the HTC VIVE Tracker 3.0 Compared to Vicon System for Generating Valid Positional Feedback in Virtual Reality
by: Sebastian Merker, et al.
Published: (2023-08-01)

Comparison of Marker- and Markerless-Derived Lower Body Three-Dimensional Gait Kinematics in Typically Developing Children
by: Henrike Greaves, et al.
Published: (2025-07-01)

Analysis of Upper-Limb and Trunk Kinematic Variability: Accuracy and Reliability of an RGB-D Sensor
by: Alessandro Scano, et al.
Published: (2020-04-01)

Applications of Pose Estimation in Human Health and Performance across the Lifespan
by: Jan Stenum, et al.
Published: (2021-11-01)

Validity and reliability of single camera markerless motion capture systems with RGB-D sensors for measuring shoulder range-of-motion: a systematic review
by: Unhyung Lee, et al.
Published: (2025-05-01)

Evaluation of drop vertical jump kinematics and kinetics using 3D markerless motion capture in a large cohort
by: Tylan Templin, et al.
Published: (2024-10-01)

Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training
by: Elise Klæbo Vonstad, et al.
Published: (2020-12-01)

A Novel Tool for Gait Analysis: Validation Study of the Smart Insole PODOSmart<sup>®</sup>
by: Efthymios Ziagkas, et al.
Published: (2021-09-01)

Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated with a Deep Learning Smartphone App
by: Shigeki Yamada, et al.
Published: (2023-01-01)

Accuracy, Validity, and Reliability of Markerless Camera-Based 3D Motion Capture Systems versus Marker-Based 3D Motion Capture Systems in Gait Analysis: A Systematic Review and Meta-Analysis
by: Sofia Scataglini, et al.
Published: (2024-06-01)

Inter-Device Reliability of a Three-Dimensional Markerless Motion Capture System Quantifying Elementary Movement Patterns in Humans
by: Nicolas M. Philipp, et al.
Published: (2023-05-01)

Evaluation of 3D Markerless Motion Capture System Accuracy during Skate Skiing on a Treadmill
by: Petra Torvinen, et al.
Published: (2024-01-01)

Pilot Validation Study of Inertial Measurement Units and Markerless Methods for 3D Neck and Trunk Kinematics during a Simulated Surgery Task
by: Ce Zhang, et al.
Published: (2022-10-01)

Development of a Gait Analysis Application for Assessing Upper and Lower Limb Movements to Detect Pathological Gait
by: Atsuhito Taishaku, et al.
Published: (2024-09-01)

YOLOv5 Drone Detection Using Multimodal Data Registered by the Vicon System
by: Wojciech Lindenheim-Locher, et al.
Published: (2023-07-01)

Quantitative Comparison of Hand Kinematics Measured with a Markerless Commercial Head-Mounted Display and a Marker-Based Motion Capture System in Stroke Survivors
by: Antonino Casile, et al.
Published: (2023-09-01)